CORPORATIZATION OF RAILWAY INFRASTRUCTURE IN UKRAINE, POLAND, AND KAZAKHSTAN: A COMPARATIVE ANALYSIS OF MODELS AND OUTCOMES DOI Creative Commons
Igor Dunayev, Serhii Hromov

Social Economics, Journal Year: 2024, Volume and Issue: 68, P. 5 - 24

Published: Dec. 31, 2024

This paper presents a comparative analysis of the models and outcomes railway infrastructure corporatization in Ukraine, Poland, Kazakhstan. The article aims to identify key success factors, challenges, opportunities for adapting best practices reform Ukrainian context. goal is achieved through several research tasks: summarizing historical context evolution Ukraine; reviewing initial conditions main stages Poland Kazakhstan; conducting cross-comparative indicators outcomes; identifying lessons recommendations Ukraine based on experiences developing proposals applying successful foreign Ukraine’s system foster national economic development. combination methods. authors provide retrospective process JSC "Ukrzaliznytsia," its outcomes. Through examples from Kazakhstan, alternative sector are analysed, considering both Eurointegration Eurasian geopolitical contexts. Comparing dynamics operational financial companies three countries allowed an assessment effectiveness different approaches corporatization. argues that "Ukrzaliznytsia" post-war recovery critically dependent creatively Polish Kazakh experiences, integrating them with realities. Three strategic priorities proposed: optimizing network new logistics flows; digital transformation automation; expanding public-private partnerships cooperation European railways. Key steps implementation ways address challenges related investment shortages workforce deficits outlined. presented may be useful management government officials, experts, all stakeholders involved development strategy.

Language: Английский

Systematic review railway infrastructure monitoring: From classic techniques to predictive maintenance DOI Creative Commons
G Bianchi, C. Fanelli, Francesco Freddi

et al.

Advances in Mechanical Engineering, Journal Year: 2025, Volume and Issue: 17(1)

Published: Jan. 1, 2025

The efficiency and availability of modern railway infrastructure plays an increasingly strategic role in the sustainability, development prosperity communities nations. Recent Artificial Intelligence (AI) algorithms, which enable use digital tools such as Data-Driven models that can automatically adapt system operation, make decisions suggest strategies based on collected data, form basis Predictive Maintenance (PdM). PdM is considered a key opportunity for accurate Structural Health Monitoring (SHM), especially infrastructure, where transition from traditional preventive or periodic maintenance to will reduce intervention times costs. Furthermore, by directly correlating actual conditions with measured information, SHM utilise limited number sensors installed critical components insulated rail joints. This review starts clearly describing different up monitoring systems currently technical performance parameters indicate their health status goes examine issues related tools. All these topics are summarised provide effective theoretical practical knowledge better understand current transformation sector predict future developments.

Language: Английский

Citations

2
Behavior Expectation‐Based Anomaly Detection in Bridge Deflection Using AOA‐BiLSTM‐TPA: Considering Temperature and Traffic‐Induced Temporal Patterns DOI Creative Commons
Guang Qu, Ye Xia, Limin Sun

et al.

Structural Control and Health Monitoring, Journal Year: 2024, Volume and Issue: 2024(1)

Published: Jan. 1, 2024

In the realm of structural health monitoring (SHM), understanding expected behavior a structure is vital for timely identification anomalous activities. Existing methods often model only physical quantities data, neglecting corresponding temporal information. To address this, this paper presents an innovative deep learning framework that synergistically combines BiLSTM model, fortified by pattern attention (TPA) mechanism, with time‐encoded temperature and traffic‐induced deflection‐temporal patterns. The arithmetic optimization algorithm (AOA) employed optimal hyperparameter tuning, incremental was implemented to enable real‐time updates model. Based on proposed framework, anomaly detection method subsequently developed. This bidirectional: it uses quantile loss provide ranges behavior, identifying isolated anomalies, while windowed normalized mutual information (WNMI) based multivariate kernel density estimation (MKDE) helps detect trend variability caused decreases in stiffness. were validated using data from operational cable‐stayed bridge. results demonstrate effectively predicts detects highlighting critical role SHM.

Language: Английский

Citations

9
Novel ‘Closed’-System Approach for Monitoring the Technical Condition of Railway Tracks DOI Open Access
I. O. Bondarenko, Vaidas Lukoševičius, Larysa Neduzha

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(8), P. 3180 - 3180

Published: April 10, 2024

Assessing the technical condition of a railway track throughout its service life is crucial to ensuring functional safety. However, it important note that current approaches have theoretical and practical gaps require attention. The purpose this study discuss reconceptualization an integrated approach assess changes in tracks caused by rolling stock over their life. Improving existing systems for assessing can be achieved modifying model concept and, subsequently, measurement assessment procedures. This paper presents alternative method addressing issues related monitoring diagnosis tracks, with particular focus on natural phenomena: energy transfer elastic waves. primary aim work propose designing ‘closed’ system enables tracking cause-and-effect relationship. takes into account both dissipative characteristics track–rolling interaction influence dynamics various components ‘train-track’ system.

Language: Английский

Citations

1
Geoinformation technologies for engineering and geodetic surveys in the modernisation of railway infrastructure in Ukraine DOI Creative Commons
Svitlana Danshyna, Sergey Andrieiev, Stanislav Horelyk

et al.

Innovative technologies and scientific solutions for industries, Journal Year: 2024, Volume and Issue: 4(30), P. 39 - 58

Published: Dec. 11, 2024

The subject of the study is remote methods engineering and geodetic surveys in modernisation railway infrastructure Ukraine. purpose to increase efficiency facilities Ukraine through use modern geographic information system technologies. Objectives: To analyse general state order identify possible areas for its improvement; existing regulatory framework governing at during their modernisation; evaluate capabilities GIS technologies solving certain survey tasks; formalize processes field desk-based surveys; work out developed functional models practice. Results. results activities JSC "Ukrainian Railways" show that it industry leader, but, despite high development prospects, maintenance requires significant funds, which a problem context martial law. This involvement innovations, particular, when conducting facilities. article investigates possibilities carrying facilities, links between them, as well disadvantages advantages. analysis current this area has shown recommended, but not regulated. A DFD diagram been summarises formalises process integrating materials obtained using into country's geodatabase. Based on diagram, cameral workstages was formalised. were tested empirically, example project track surrounding situation ground direction Kovel-Yahodyn-Border. It how proposed accelerate planning such projects. Conclusions: practical application increases In systematisation structuring data flows, algorithmisation stages simplifies projects, content while reducing time spent work, improvesthe accuracy obtaining geometric parameters area.

Language: Английский

Citations

0
CORPORATIZATION OF RAILWAY INFRASTRUCTURE IN UKRAINE, POLAND, AND KAZAKHSTAN: A COMPARATIVE ANALYSIS OF MODELS AND OUTCOMES DOI Creative Commons
Igor Dunayev, Serhii Hromov

Social Economics, Journal Year: 2024, Volume and Issue: 68, P. 5 - 24

Published: Dec. 31, 2024

This paper presents a comparative analysis of the models and outcomes railway infrastructure corporatization in Ukraine, Poland, Kazakhstan. The article aims to identify key success factors, challenges, opportunities for adapting best practices reform Ukrainian context. goal is achieved through several research tasks: summarizing historical context evolution Ukraine; reviewing initial conditions main stages Poland Kazakhstan; conducting cross-comparative indicators outcomes; identifying lessons recommendations Ukraine based on experiences developing proposals applying successful foreign Ukraine’s system foster national economic development. combination methods. authors provide retrospective process JSC "Ukrzaliznytsia," its outcomes. Through examples from Kazakhstan, alternative sector are analysed, considering both Eurointegration Eurasian geopolitical contexts. Comparing dynamics operational financial companies three countries allowed an assessment effectiveness different approaches corporatization. argues that "Ukrzaliznytsia" post-war recovery critically dependent creatively Polish Kazakh experiences, integrating them with realities. Three strategic priorities proposed: optimizing network new logistics flows; digital transformation automation; expanding public-private partnerships cooperation European railways. Key steps implementation ways address challenges related investment shortages workforce deficits outlined. presented may be useful management government officials, experts, all stakeholders involved development strategy.

Language: Английский

Citations

0